Abstract: Curved origami-based meta-material, manufacturing method of the same, curved origami-based haptic module and a method for producing active mechanical haptics. The curved origami-based metamaterial includes a panel having a single curved crease extending in its longitudinal direction, which divides the panel into two facets at its two opposite sides. The panel is configured to be folded along the single curved crease to form a folding angle between the two facets. The folding angle is configured to be adjustable to achieve a variable stiffness when loaded in a vertical direction of the folded panel, covering positive stiffness to negative stiffness.

Abstract: Provided are a method for pushing anchor information, a computer device, and a storage medium. The method for pushing the anchor information includes: recalling an anchor user; determining an anchor type of the anchor user by using a live streaming history and a live streaming efficiency as classification dimensions; calculating an interaction score of the anchor user, wherein the interaction score represents a feature of a viewer user viewing a live streaming room of the anchor user; calculating a comprehensive score of the anchor user based on the interaction score and the anchor type; and pushing anchor information of the anchor user to the viewer user based on the comprehensive score.

Abstract: Curved origami-based meta-material, manufacturing method of the same, curved origami-based haptic module and a method for producing active mechanical haptics. The curved origami-based metamaterial includes a panel having a single curved crease extending in its longitudinal direction, which divides the panel into two facets at its two opposite sides. The panel is configured to be folded along the single curved crease to form a folding angle between the two facets. The folding angle is configured to be adjustable to achieve a variable stiffness when loaded in a vertical direction of the folded panel, covering positive stiffness to negative stiffness.

Abstract: Origami-based contact members, devices and systems used for active mechanical haptics. The origami-based contact member includes a top plate, a bottom plate, and at least one piece of a curved origami-based metamaterial interposed therebetween, with its top end fixed to the top plate and its bottom end fixed to the bottom plate, the top plate is exposed to be contacted by a user's body site. The metamaterial includes a panel having a single curved crease extending in its longitudinal direction, which divides the panel into two facets. The panel is foldable along the single curved crease to form a folding angle between the two facets. The folding angle is adjustable by rotating the bottom plate to achieve a variable stiffness when loaded in a vertical axis between the top and bottom plates, covering positive stiffness to negative stiffness, to be perceived by the user's body site via contact with the top plate.

Abstract: This disclosure is directed to an image authenticity detection method and apparatus. The method includes: obtaining an image; removing low-frequency information from the image to obtain first image information of the image; denoising the first image information to obtain second image information; determining, based on a difference between the first image information and the second image information, a fixed pattern noise feature map corresponding to the image; analyzing distribution of fixed pattern noise in the fixed pattern noise feature map, the fixed pattern noise being inherent noise from a camera sensor and not interfered by image content; and detecting, based on the distribution, authenticity of the image to obtain an authenticity detection result of the image.

Abstract: Provided are a method for pushing anchor information, a computer device, and a storage medium. The method for pushing the anchor information includes: recalling an anchor user; determining an anchor type of the anchor user by using a live streaming history and a live streaming efficiency as classification dimensions; calculating an interaction score of the anchor user, wherein the interaction score represents a feature of a viewer user viewing a live streaming room of the anchor user; calculating a comprehensive score of the anchor user based on the interaction score and the anchor type; and pushing anchor information of the anchor user to the viewer user based on the comprehensive score.

Abstract: The present application discloses a method, an apparatus and a terminal for detecting a malware file. One embodiment of the method comprises: obtaining a file to be inspected; determining an entropy vector of the file; and inspecting the entropy vector of the file using a trained inspection model to determine if the file is a malware file, wherein a file type of the file is identical to the file type corresponding to the inspection model. This embodiment extracts the entropy vector of the file and determines if the file is a malware file based on the entropy vector of the file. Therefore, the technical problems existed in the art, such as a low speed, a poor capacity and a low efficiency of detecting and destroying the malware file, are addressed and the efficiency of detecting and destroying the malware file is enhanced.

Abstract: The present application discloses a method, an apparatus and a terminal for detecting a malware file. One embodiment of the method comprises: obtaining a file to be inspected; determining an entropy vector of the file; and inspecting the entropy vector of the file using a trained inspection model to determine if the file is a malware file, wherein a file type of the file is identical to the file type corresponding to the inspection model. This embodiment extracts the entropy vector of the file and determines if the file is a malware file based on the entropy vector of the file. Therefore, the technical problems existed in the art, such as a low speed, a poor capacity and a low efficiency of detecting and destroying the malware file, are addressed and the efficiency of detecting and destroying the malware file is enhanced.